Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 233,716,441 papers from all fields of science
Search
Sign In
Create Free Account
Computer vision
Known as:
Image classification
, History of computer vision
, Image Recognition Techniques
Expand
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
50 relations
AForge.NET
AI-complete
AIBO
Automated X-ray inspection
Expand
Broader (1)
Artificial intelligence
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Safer Classification by Synthesis
William Wang
,
Angelina Wang
,
Aviv Tamar
,
Xi Chen
,
P. Abbeel
arXiv.org
2017
Corpus ID: 31650962
The discriminative approach to classification using deep neural networks has become the de-facto standard in various fields…
Expand
Highly Cited
2011
Highly Cited
2011
Learning attentional policies for tracking and recognition in video with deep networks
Loris Bazzani
,
Nando de Freitas
,
H. Larochelle
,
Vittorio Murino
,
Jo-Anne Ting
International Conference on Machine Learning
2011
Corpus ID: 15076966
We propose a novel attentional model for simultaneous object tracking and recognition that is driven by gaze data. Motivated by…
Expand
2004
2004
Evaluation of color representation for texture analysis
Egon L. van den Broek
,
E. M. Rikxoort
2004
Corpus ID: 6088695
Since more than 50 years texture in image material is a topic of research. Hereby, color was ignored mostly. This study compares…
Expand
Highly Cited
1995
Highly Cited
1995
Visual Tracking Using Closed-Worlds
A. Bobick
,
S. Intille
1995
Corpus ID: 15387633
A new approach to tracking weakly modeled objects in a semantically rich domain is presented. We refer to our method as closed…
Expand
Highly Cited
1995
Highly Cited
1995
Single-View Based Recognition of Faces Rotated in Depth
T. Maurer
,
C. Malsburg
1995
Corpus ID: 11534904
We present a method for recognizing objects (faces) on the basis of just one stored view, in spite of rotation in depth. The…
Expand
1994
1994
Image morphing using deformable surfaces
Seungyong Lee
,
Kyung-Yong Chwa
,
J. Hahn
,
Sung-yong Shin
Proceedings of Computer Animation '94
1994
Corpus ID: 8791626
This paper presents a new image morphing technique using deformable surfaces. Drawbacks of previous techniques are overcome by a…
Expand
1990
1990
Combination of Structural Classifiers
T. Ho
,
J. Hull
,
S. Srihari
1990
Corpus ID: 59639180
A technique for combining the results of structural classifiers in a multi-classifier image recognition system is presented. Each…
Expand
Highly Cited
1982
Highly Cited
1982
Reasoning about success and failure in aerial image understanding
P. Selfridge
1982
Corpus ID: 59780535
Why is an Image Understanding task, such as locating houses in aerial photographs, difficult to do automatically by computer…
Expand
Highly Cited
1978
Highly Cited
1978
The argos image understanding system.
S. Rubin
1978
Corpus ID: 60526133
Abstract : ARGOS is an image understanding system. It builds a three-dimensional model of the task domain and uses hypothesized…
Expand
1975
1975
On the cepstrum of two-dimensional functions (Corresp.)
R. Rom
IEEE Transactions on Information Theory
1975
Corpus ID: 5280636
Cepstral analysis has been used in speech processing for some time, but in the field of image processing very little attention…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE